Result for 9676D82505848E9E72961C93FA69C84E02BDCA53

Query result

Key Value
FileName./usr/lib/python3/dist-packages/pycuda/_pvt_struct.cpython-39d-x86_64-linux-gnu.so
FileSize132960
MD5741CD6F7BC551E6C1ECB9774CA783F3D
SHA-19676D82505848E9E72961C93FA69C84E02BDCA53
SHA-256C8C847770E33DC18B62792FD0C76044EE89BBC01C0414A698D9E62F54E2A912F
SSDEEP1536:ooA8ufg6F/WjGaokLy+htpPWduPxSp0N2I7z2Ax4XnIPPFB:glgCaJPWdox18IPPF
TLSHT1EAD32B57ABD5C87FD021A939CCEB1736B312F1116313DBA35A08663D0C9A7A0DE05A7E
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize11723372
MD55995323F7BB2E5DF370A055E40B72CDA
PackageDescriptionPython 3 module to access Nvidia‘s CUDA API (debug extensions) PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA? * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation. . This package contains debug extensions for the Python 3 debug interpreter.
PackageMaintainerDebian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageNamepython3-pycuda-dbg
PackageSectioncontrib/debug
PackageVersion2018.1.1-4+b5
SHA-173E658ED839448E2D6B5B0EF64BF14CF125CCAE5
SHA-256820E568D9EBE8F2FE49002CF8D357EF9464B7FBEB073DFA2EBD989717C7124EA